
Math 398  Game Theory  Reading Assignments
February 2000
You will probably want to print this page out and keep it in your text, but
be sure to check back every so often, because this may change during the semester.
(Last modified:
Friday, January 28, 2000,
10:56 AM )
All numbers indicate sections from Games and Decision Making
by Aliprantis and Chakrabarti.

For Thursday February 3
To read :
You should read the following, but you do not need a Reading Journal entry for:
The Forward to the text
Introduction to Chapter 1
Skim Sections 1.1, 1.2, and 1.3 (this should all be review)
Section 1.4 pp 1314 (we'll talk about other methods of optimizing multivariable functions)
For your Reading Journal, read Section 1.5 Uncertainty and Chance
Be sure to understand :
The distinction and connection between distribution functions and density functions
The definitions of expected value and normal distributions
For Tuesday February 8
To read :
Section 1.6 Decision Making Under Uncertainty
Be sure to read the Allais Paradox, and we'll discuss Examples 1.21 and 1.22 in class
Be sure to understand :
Pages 2627 (this will require some rereading)
Defintions of utility function, expected utility of a decision, lottery,
risk averse, risk neutral, and risk seeking
For Thursday February 10
To read :
The Introduction to Chapter 2
Section 2.1 TwoPerson Matrix Games
Be sure to understand :
Example 2.1 and the defintions of dominated strategy and Nash equilibrium
For Tuesday February 15
To read :
Section 2.2 Strategic Form Games
Section 2.3 Applications up to Example 2.11
Be sure to understand :
The defintion of strategic form game, strategy profile, and Nash equilibrium of a strategic form game
For Thursday February 17
To read :
Example 2.12 in Section 2.3 Applications
For Tuesday February 22
To read :
Section 2.4 Solving Matrix Games with Mixed Strategies
Be sure to understand :
The defintion of mixed and pure strategies
For Thursday February 24
No class today.
For Tuesday February 29
To read :
Introduction to Chapter 3
Section 3.1 Graphs and Trees
Section 3.2 SinglePerson Dections
Be sure to understand :
The definition of a decision graph
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